Intern in the CAVES & PANGAEA Team, Machine Learning Development
Tasks
- Apply signal decomposition and unmixing methods
- Build deep learning multi class multi label classification models
- Develop machine learning algorithms for planetary material recognition
- Implement data fusion from multispectral spectroscopy
- Integrate models into automated pipelines using MLOps
- Process analyze and visualize scientific datasets
- Support real time mineral and rock recognition
Perks/Benefits
- N/A
Skills/Tech-stack
Convolutional Neural Networks | Data Fusion | Deep learning | JAX | Keras | MLOps | Machine Learning | Multi-class classification | Multi-label classification | Multispectral analysis | Neural Networks | NumPy | Python | Scikit-learn | Signal Processing | TensorFlow
Education
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